Snowplow for Flink
Build operational & analytical real-time Apache Flink apps that leverage your behavioral event data
Nothing comes close to Apache Flink for stateful real-time apps
Industry-Leading Stream Processing
Apache Flink stands as the top framework for stateful stream processing, trusted by data engineering teams at major tech companies. Competitors have come and gone—Flink remains.
Advanced Windowing Capabilities
Flink’s powerful windowing system supports tumbling, sliding, and session windows, enabling precise time-based analytics—perfect for behavioral data processing.
Stateful processing at scale
With exactly-once semantics, automatic checkpointing, and built-in state management, Flink ensures accurate feature computation even at massive event volumes.
Snowplow + Flink: Real-Time Powerhouse
Real-time applications need rich contextual data for intelligent decisions, but behavioral data is often trapped in analytical systems—out of reach for operations. By combining Snowplow’s customer data infrastructure with Apache Flink’s stateful processing, organizations can create a real-time medallion architecture, transforming raw events into actionable insights in milliseconds. This seamless flow from bronze to gold-layer data powers real-time decision-making, personalization, and adaptive responses across the business.
Comprehensive SDKs that are Flink-Ready
Seamless Data Generation at Scale: Snowplow provides over 35 first-party trackers and SDKs, enabling businesses to collect real-time behavioral data from web, mobile, IoT, and server-side applications. This ensures a continuous flow of event-level data into the operational estate.
Snowplow’s Enterprise-Grade Streaming is Flink-Ready: Event data collected by Snowplow can be directly read by Flink apps from Apache Kafka, Amazon Kinesis, Azure Event Hubs and Google Cloud Pub/Sub.
Real-Time Enrichment and Stream Processing
Enriching Data for Smarter Decisions: Snowplow’s 15+ built-in enrichments enhance raw behavioral data with PII masking, geo lookups, and sessionization, before streaming into your Flink apps.
Real-time identity: Real-time identity stitch enables downstream Flink apps to work with the best-possible understanding of which user generated these digital events.
Flexible Deployment Models and Managed Streaming
Deploy Where You Need It: Snowplow offers full BYOC deployment, allowing businesses to run their behavioral data pipeline within their own VPC, maintaining strict compliance and security while integrating seamlessly with your Flink apps.
Integration with Managed Flink Platforms: Snowplow integrates natively with fully managed Flink platforms including Confluent Platform for Apache Flink, Amazon Managed Service for Apache Flink and Ververica Cloud.
Real-time medallion architecture with Snowplow + Flink
Bronze to Silver
Validated event streams, thanks to Snowplow
Snowplow processes bronze-level raw events into AI-ready silver-level events, with all schema validation and event enrichment occurring before data reaches your Flink applications.
Silver to Gold
Real-time event aggregation and feature engineering, by Flink
Flink excels at transforming silver-level events into gold-level aggregates and features in real-time, enabling immediate operationalization of behavioral insights without waiting for batch processes to complete.
Gold to Action
Flink writes to your downstream operational systems
Computed aggregates and features can be written directly to low-latency data stores like Redis, DynamoDB, or specialized feature stores, making them instantly available for machine learning models and decision engines.
Accelerate Your Data Journey
Live shopper features with Flink
Real-time feature engineering with Snowplow and Apache Flink, for live personalization of an ecommerce store. Coming soon - Reach out to us for release information.
Real-time gamer trophies with Flink
Analyze player behavior, game context and play progression in real-time to unlock achievements for a AAA live-service game. Coming soon - Reach out to us for release information.